Long-horizon predictability is not a myth. We propose a new analytical standard error for predictive regressions that does not impose the null hypothesis that returns are unpredictable and exhibits substantial power gains relative to popular tests. Deriving the covariance matrix under the...

I propose a friction measure of bond round-trip liquidity costs that is robust to outliers and accounts for the idiosyncratic information behind trading decisions. Particularly effective with investment-grade bonds, the proposed measure displays properties consistent with the credit risk puzzle....

We investigate the effects of short sale constraints on asset mispricing in the corporate bond market. Consistent with Miller (1977)'s theory that short sale constraints can lead to asset overpricing, we document a significant positive relation between changes in ownership breadth (a proxy for...

There is no consensus on whether macroeconomic fundamentals have any predictive power for bond risk premia, either unconditionally or conditionally over bond yields. Using Adaptive Group LASSO, a machine learning algorithm, we are able to construct a new, parsimonious macro variable that is...

We document a strong low-price effect for Chinese initial public offerings (IPOs). Namely, IPOs with low offer prices have higher initial returns, followed by even stronger after-market performance. This low-price effect cannot be fully explained by risks and IPO undervaluation. A long-only...